ReviewBriefings in bioinformatics2016
Progress and challenges in predicting protein interfaces.
Review in Briefings in bioinformatics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
46 citing papers in PubMed.
- Article
- Edge-aware GAT-based protein binding sites prediction.PLoS computational biology · 2026Article
- The power and limits of predicting inter-protein exon-exon interactions using protein 3D structures.Bioinformatics advances · 2026Article
- Prediction of antibody-antigen interaction based on backbone aware with invariant point attention.BMC bioinformatics · 2024Article
- Computational prediction of multiple antigen epitopes.Bioinformatics (Oxford, England) · 2024Article
- PMSFF: Improved Protein Binding Residues Prediction through Multi-Scale Sequence-Based Feature Fusion Strategy.Biomolecules · 2024Article
- Assessing the functional impact of protein binding site definition.Protein science : a publication of the Protein Society · 2024Article
- Genome-scale annotation of protein binding sites via language model and geometric deep learning.eLife · 2024Article
- Building Representation Learning Models for Antibody Comprehension.Cold Spring Harbor perspectives in biology · 2024Review
- Protein-protein and protein-nucleic acid binding site prediction via interpretable hierarchical geometric deep learning.GigaScience · 2024Article
- Exploiting the Role of Features for Antigens-Antibodies Interaction Site Prediction.Methods in molecular biology (Clifton, N.J.) · 2024Article
- Prediction of potential drug targets and key inhibitors (ZINC67974679, ZINC67982856, and ZINC05668040) againstFrontiers in veterinary science · 2024Article
- PeSTo: parameter-free geometric deep learning for accurate prediction of protein binding interfaces.Nature communications · 2023Article
- MetaScore: A Novel Machine-Learning-Based Approach to Improve Traditional Scoring Functions for Scoring Protein-Protein Docking Conformations.Biomolecules · 2023Article
- A Transformer-Based Ensemble Framework for the Prediction of Protein-Protein Interaction Sites.Research (Washington, D.C.) · 2023Article
- Integrated structure-based protein interface prediction.BMC bioinformatics · 2022Article
- ScanNet: an interpretable geometric deep learning model for structure-based protein binding site prediction.Nature methods · 2022Article
- Structure based innovative approach to analyze aptaprobe-GPC3 complexes in hepatocellular carcinoma.Journal of nanobiotechnology · 2022Article
- From complete cross-docking to partners identification and binding sites predictions.PLoS computational biology · 2022Article
- Complementarity of the residue-level protein function and structure predictions in human proteins.Computational and structural biotechnology journal · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The majority of biological processes are mediated via protein-protein interactions. Determination of residues participating in such interactions improves our understanding of molecular mechanisms and facilitates the development of therapeutics. Experimental approaches to identifying interacting residues, such as mutagenesis, are costly and time-consuming and thus, computational methods for this purpose could streamline conventional pipelines. Here we review the field of computational protein interface prediction. We make a distinction between methods which address proteins in general and those targeted at antibodies, owing to the radically different binding mechanism of antibodies. We organize the multitude of currently available methods hierarchically based on required input and prediction principles to provide an overview of the field.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.